Xylella fastidiosa comparative genomic database is an information resource to explore the annotation, genomic features, and biology of different strains

The Xylella fastidiosa comparative genomic database is a scientific resource with the aim to provide a user-friendly interface for accessing high-quality manually curated genomic annotation and comparative sequence analysis, as well as for identifying and mapping prophage-like elements, a marked feature of Xylella genomes. Here we describe a database and tools for exploring the biology of this important plant pathogen. The hallmarks of this database are the high quality genomic annotation, the functional and comparative genomic analysis and the identification and mapping of prophage-like elements. It is available from web site http://www.xylella.lncc.br

The complete genome sequence of Chromobacterium violaceum reveals remarkable and exploitable bacterial adaptability

Chromobacterium violaceum is one of millions of species of free-living microorganisms that populate the soil and water in the extant areas of tropical biodiversity around the world. Its complete genome sequence reveals (i) extensive alternative pathways for energy generation, (ii) ≈500 ORFs for transport-related proteins, (iii) complex and extensive systems for stress adaptation and motility, and (iv) wide-spread utilization of quorum sensing for control of inducible systems, all of which underpin the versatility and adaptability of the organism. The genome also contains extensive but incomplete arrays of ORFs coding for proteins associated with mammalian pathogenicity, possibly involved in the occasional but often fatal cases of human C. violaceum infection. There is, in addition, a series of previously unknown but important enzymes and secondary metabolites including paraquat-inducible proteins, drug and heavy-metal-resistance proteins, multiple chitinases, and proteins for the detoxification of xenobiotics that may have biotechnological applications

Horse spermatogonial stem cell cryopreservation: feasible protocols and potential biotechnological applications

The establishment of proper conditions for spermatogonial stem cells (SSCs) cryopreservation and storage represents an important biotechnological approach for the preservation of the genetic stock of valuable animals. This study demonstrates the effects of different cryopreservation protocols on the survival rates and phenotypic expression of SSCs in horses. The cells were enzymatically isolated from testes of eight adult horses. After enrichment and characterization of germ cells in the suspension, the feasibility of several cryopreservation protocols were evaluated. Three different cryomedia compositions, associated with three different methods of freezing (vitrification, slow-freezing and fast-freezing) were evaluated. Based on the rates of viable SSCs found before and after thawing, as well as the number of recovered cells after cryopreservation, the best results were obtained utilizing the DMSO-based cryomedia associated with the slow-freezing method. In addition, when isolated cells were cultured in vitro, MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assay and immunofluorescence analysis indicated that the cryopreserved cells were as metabolically active as the fresh cells and were also expressing typical SSCs proteins (VASA, NANOS2 and GFRA1). Therefore, our results indicate that equine SSCs can be cryopreserved without impairment of structure, function, or colony-forming abilities. © 2017, Springer-Verlag GmbH Germany

Predição do peso vivo a partir de medidas corporais em animais mestiços Holandês/Gir Prediction of live weight based on body measurements in crossbred animals Holstein/Gir

O objetivo deste estudo foi investigar as relações entre o peso corporal e as medidas corporais altura de garupa (ag), comprimento de garupa (cg), comprimento corporal (cc) e perímetro torácico (pt), em bovinos oriundos principalmente do cruzamento das raças Holandês e Gir. Foram utilizados dados de 483 vacas, 469 novilhas e 62 machos, de três rebanhos distintos, analisados separadamente para cada categoria a fim de estabelecer equações polinomiais dos pesos em relação às medidas corporais. As correlações simples do peso corporal com pt, cc, cg e ag foram respectivamente 0,807; 0,440; 0,187 e 0,504 para vacas; 0,928; 0,735; 0,819 e 0,880 machos, e 0,942; 0,748; 0,902 e 0,573 para novilhas. Embora as regressões de peso corporal em relação ao cc e cg tenham sido significativas (P<0,05), o aumento da porcentagem de explicação das variações do peso corporal obtido com a inclusão destas medidas, em adição ao pt, não parece justificar o custo das medições. As equações de predição do peso corporal em função do pt foram as seguintes: para vacas, peso = 12.174 - 187,410 pt + 0,97196960 pt&sup2; - 0,00162382 pt&sup3;, para novilhas, peso= 1.717-35,167 pt + 0,238978 pt&sup2; - 0,00046260 pt&sup3; e, para machos, peso = -3.862+76,014 pt-0,488837 pt&sup2;+ 0,00109755 pt&sup3;.<br>The objective of this study was to investigate the relationship between hip height (ag), rump length (cg), body length (cc) and heart girth (pt) with live body weight of crossbred animals, mainly from the cross between Holstein and Gir breeds. Data on 483 cows, 469 heifers and 62 males in three herds were analyzed for each category using polynomial regression equations of body weight on measurements. The correlations between body weight and pt, cc, cg and ag were, respectively 0.807, 0.440, 0.187 and 0.504 for cows, 0.928, 0.735, 0.819 and 0.880 for males and 0.942, 0.748, 0.902 and 0.573 for heifers. Although the regressions of body weights on cc and cg were significant (P<0.05), the additional goodness of fit of a model that includes these two traits in addition to heart girth does not justify the extra cost for recording these traits. The prediction equations were: for cows, body weight = 12174-187.410 pt+0.97196960 pt&sup2;-0.00162382 pt&sup3;, for heifers, body weight = 1717-35.167pt+0.238978pt&sup2;-0.00046260pt&sup3; and for males, body weight = -3862+76.014pt-0.488837pt&sup2;+0.00109755pt&sup3;